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Police sometimes measure shoe prints at crime scenes so that they can learn something about criminals. Listed below are shoe print lengths, foot lengths, and heights of males. Construct a scatterplot, finc value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Based on these results, appear that police can use a shoe print length to estimate the height of a male? Use a significance level of a = 0.05. Shoe Print (cm) Foot Length (cm) Height (cm) Height (am) Construct a scatterplot. Choose the correct graph below. OA. 200 160- 25 30.4 24.9 180.6 Shoe Print (cm) ▼ Q 27.9 30.4 32.2 32.7 26.3 28.2 27.3 182.9 180.5 176.7 174.6 24.7 Q The linear correlation coefficient is r= (Round to three decimal places as needed) Determine the null and alternative hypotheses Ho P H₁ p (Type integers or decimals. Do not round) OB. 6 200- 160+ 25 Shoe Print (cm) G OC. Height (cm) 6 200- 160 25 Shoe Print (cm) 35 Q Q G OD. E 200- 1604 25 TOPLE Shoe Print (cm) Q Q C Next

Police sometimes measure shoe prints at crime scenes so that they can learn something about criminals. Listed below are shoe print lengths, foot lengths, and heights of males. Construct a scatterplot, finc value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Based on these results, appear that police can use a shoe print length to estimate the height of a male? Use a significance level of a = 0.05. Shoe Print (cm) Foot Length (cm) Height (cm) Height (am) Construct a scatterplot. Choose the correct graph below. OA. 200 160- 25 30.4 24.9 180.6 Shoe Print (cm) ▼ Q 27.9 30.4 32.2 32.7 26.3 28.2 27.3 182.9 180.5 176.7 174.6 24.7 Q The linear correlation coefficient is r= (Round to three decimal places as needed) Determine the null and alternative hypotheses Ho P H₁ p (Type integers or decimals. Do not round) OB. 6 200- 160+ 25 Shoe Print (cm) G OC. Height (cm) 6 200- 160 25 Shoe Print (cm) 35 Q Q G OD. E 200- 1604 25 TOPLE Shoe Print (cm) Q Q C Next

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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Police sometimes measure shoe prints at crime scenes so that they can learn something about criminals. Listed below are shoe print lengths, foot lengths, and heights of males. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Based on these results, does it appear that police can use a shoe print length to estimate the height of a male? Use a significance level of a = 0.05. 30.4 32.2 32.7 27.9 26.3 28.2 27.3 24.7 182.9 180.5 176.7 174.6 Shoe Print (cm) Foot Length (cm) Height (cm) Construct a scatterplot. Choose the correct graph below. O A. OB. 6 200- 160+ 25 R T P 30.4 24.9 180.6 Shoe Print (cm) Y 35 $ Q The linear correlation coefficient is r= (Round to three decimal places as needed.) Determine the null and alternative hypotheses. G Ho P H₁ pl (Type integers or decimals. Do not round.). F5 F6 A 6 6 F7 200- 160+ 25 +4 Shoe Print (cm) F8 & 7 DELL F9 * 00 م 8 F10 ( 9 O C. 6 200 160+ 25 F11 3 Shoe Print (cm) O 35 F12 O Q PrtScr ge + OD. 200- I 6 ↑ 160+ 25 Shoe Print (cm) Insert Delete Backspace Q Q G PgUp Num Lock Next PgDo 7 T 8 9
Transcribed Image Text:Police sometimes measure shoe prints at crime scenes so that they can learn something about criminals. Listed below are shoe print lengths, foot lengths, and heights of males. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Based on these results, does it appear that police can use a shoe print length to estimate the height of a male? Use a significance level of a = 0.05. 30.4 32.2 32.7 27.9 26.3 28.2 27.3 24.7 182.9 180.5 176.7 174.6 Shoe Print (cm) Foot Length (cm) Height (cm) Construct a scatterplot. Choose the correct graph below. O A. OB. 6 200- 160+ 25 R T P 30.4 24.9 180.6 Shoe Print (cm) Y 35 $ Q The linear correlation coefficient is r= (Round to three decimal places as needed.) Determine the null and alternative hypotheses. G Ho P H₁ pl (Type integers or decimals. Do not round.). F5 F6 A 6 6 F7 200- 160+ 25 +4 Shoe Print (cm) F8 & 7 DELL F9 * 00 م 8 F10 ( 9 O C. 6 200 160+ 25 F11 3 Shoe Print (cm) O 35 F12 O Q PrtScr ge + OD. 200- I 6 ↑ 160+ 25 Shoe Print (cm) Insert Delete Backspace Q Q G PgUp Num Lock Next PgDo 7 T 8 9
Police sometimes measure shoe prints at crime scenes so that they can learn something about criminals. Listed below are shoe print lengths, foot lengths, and heights of males. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Based on these results, does it appear that police can use a shoe print length to estimate the height of a male? Use a significance level of a 0.05. Shoe Print (cm) Foot Length (cm) Height (cm) 30.4 24.9 180.6 30.4 32.2 32.7 26.3 28.2 27.3 180.5 182.9 176.7 Ho: P H₁: P VL (Type integers or decimals. Do not round.) The test statistic is t= (Round to two decimal places as needed.) The P-value is (Round to three decimal places as needed.). 27.9 24.7 174.6 Because the P-value of the linear correlation coefficient is lengths and heights of males. Based on these results, does it appear that police can use a shoe print length to estimate the height of a male? OA. No, because shoe print length and height do not appear to be correlated. OB. Yes, because shoe print length and height appear to be correlated OC. No, because shoe print length and height appear to be correlated. OD. Yes, because shoe print length and height do not appear to be correlated. FB the significance level, there DELL F9 C F10 F11 sufficient evidence to support the claim that there is a linear correlation between shoe print F12 O PrtScr Insert Delete PgUp Next
Transcribed Image Text:Police sometimes measure shoe prints at crime scenes so that they can learn something about criminals. Listed below are shoe print lengths, foot lengths, and heights of males. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Based on these results, does it appear that police can use a shoe print length to estimate the height of a male? Use a significance level of a 0.05. Shoe Print (cm) Foot Length (cm) Height (cm) 30.4 24.9 180.6 30.4 32.2 32.7 26.3 28.2 27.3 180.5 182.9 176.7 Ho: P H₁: P VL (Type integers or decimals. Do not round.) The test statistic is t= (Round to two decimal places as needed.) The P-value is (Round to three decimal places as needed.). 27.9 24.7 174.6 Because the P-value of the linear correlation coefficient is lengths and heights of males. Based on these results, does it appear that police can use a shoe print length to estimate the height of a male? OA. No, because shoe print length and height do not appear to be correlated. OB. Yes, because shoe print length and height appear to be correlated OC. No, because shoe print length and height appear to be correlated. OD. Yes, because shoe print length and height do not appear to be correlated. FB the significance level, there DELL F9 C F10 F11 sufficient evidence to support the claim that there is a linear correlation between shoe print F12 O PrtScr Insert Delete PgUp Next
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